Custom Enhancer

Subclass ImageEnhancer to create an operation that modifies detect_mat. Operations are pydantic models: declare each parameter as an annotated class-level field — there is no hand-written __init__.

from phenotypic.abc_ import ImageEnhancer
import numpy as np

class LogTransform(ImageEnhancer):
    """Apply a log transform to compress the dynamic range of detect_mat.

    Args:
        c: Scaling coefficient applied after the log transform.
    """

    c: float = 1.0

    def _operate(self, image):
        mat = image.detect_mat[:]
        image.detect_mat[:] = self.c * np.log1p(mat)
        return image

Contract

• Read from and write to detect_mat

• Do not modify rgb, gray, objmask, or objmap

• Return the modified image